ElasticSearch usage

Elastic 
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#Getting number of documents in books index
GET books/_count

# Turn off the source 
GET books/_search
{
  "_source": false, 
  "query": {
    "ids": {
      "values": [1,2,3]
    }
  }
}

GET books/_search
{
  "query": {
    "prefix": {
      "author": "josh"
    }
  }
}

GET books/_search
{
  "query": {
    "match": {
      "author": {
        "query": "Joshua Herbert",
        "operator": "AND"
      }
    }
  }
}

# Searching across multiple fields using multi_match query
GET books/_search
{
  "query": {
    "multi_match": {
      "query": "Java",
      "fields": ["title","synopsis"]
    }
  }
}
# Boosting scores
GET books/_search
{
  "query": {
    "multi_match": { 
      "query": "Java",
      "fields": ["title^3","synopsis"]
    }
  }
}
# Match Phrase query with slop 1
GET books/_search
{
  "query": {
    "match_phrase": {
      "synopsis": {
      "query": "must-have book every Java programmer",
      "slop": 1
      }
    }
  }
}

#Fuzzy query (forgiving spelling mistakes)
GET books/_search
{
  "query": {
    "fuzzy": {
      "title": {
        "value": "kava",
        "fuzziness": 1 
      }
    }
  }
}

GET books/_search
{
  "query": {
    "match_phrase_prefix": {
      "title": "Java co"
    }
  }
}

# Getting third edition books using term query
GET books/_search
{
 
  "query": {
    "term": {
      "edition": {
        "value": 3
      }
    }
  }
}

# Range query
GET books/_search
{
  "query": {
    "range": {
      "amazon_rating": {
        "gte": 4.5,
        "lte": 5
      }
    }
  }
}